Qwen3 7B on HumanEval: score, rank and what it means
Qwen3 7B scores 65.2 on HumanEval, placing it #439 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.
Score distribution
The chart shows the top 10 models on HumanEval, with Qwen3 7B highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|---|
| 1 | GPT-5.2 Pro | OpenAI | 2000000 | $21.32 | 89.6 |
| 2 | Gemini 3 Pro Pro | Google DeepMind | 200000 | $19.80 | 87.3 |
| 3 | o4 Max | OpenAI | 2000000 | $19.51 | 86.2 |
| 4 | Grok 4 Reasoning | xAI | 2000000 | $19.67 | 87.8 |
| 5 | Claude Opus 4.5 | Anthropic | 400000 | $19.42 | 87.7 |
| 6 | GPT-5.2 Max | OpenAI | 1000000 | $21.39 | 89.2 |
| 7 | Claude Opus 4.5 Pro | Anthropic | 200000 | $20.98 | 89.1 |
| 8 | Grok 4 Max | xAI | 2000000 | $19.70 | 86.6 |
| 9 | GPT-5.2 Turbo | OpenAI | 1000000 | $20.73 | 87.4 |
| 10 | GPT-5.1 Reasoning | OpenAI | 400000 | $20.27 | 88.3 |
What this score means
On HumanEval, Qwen3 7B sits at #439 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 31.6 points. The median model in this index scores 77.4, which puts Qwen3 7B below the midpoint.
Alibaba Cloud models average 77.1 on this benchmark. Qwen3 7B is 11.9 points below that provider line, so it is a weaker result than the average Alibaba Cloud model.
Among small open-weight models, the average is 56.7. Qwen3 7B is 8.5 points above that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.
Read a 65.2 as a relative signal, not an absolute guarantee. Benchmark scores depend on prompt format, evaluation harness and contamination controls. Use this page to narrow the shortlist, then test the model on your own data.
Price context
At $1.37 per million input tokens, Qwen3 7B is below the median input price of $4.00 across the 600 models scored on HumanEval. The models immediately around it in the ranking are shown below so you can compare score and price together.
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| Firesearch Mini | Fireworks AI | 32768 | $3.94 | 61.5 |
| Zephyr Chat | Hugging Face | 4096 | $1.49 | 61.3 |
| DeepSeek-R1 7B | DeepSeek | 32768 | $1.79 | 63.0 |
| GLM-4.5 7B | Zhipu AI | 8192 | $1.32 | 60.2 |
| Qwen3 7B | Alibaba Cloud | 32768 | $1.37 | 59.8 |
| Llama 4 Maverick 7B | Meta AI | 4096 | $1.52 | 61.9 |
| Zephyr Instruct | Hugging Face | 4096 | $1.66 | 62.4 |
Other benchmarks for Qwen3 7B
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 64.2 | 466 | 22th | |
| GPQA Diamond | 55.2 | 460 | 23th | |
| SWE-bench Verified | 44.7 | 468 | 22th | |
| MATH-500 | 60.8 | 453 | 25th | |
| AIME 2025 | 49.3 | 464 | 23th | |
| LiveCodeBench | 50.3 | 445 | 26th | |
| IFEval | 68.9 | 478 | 20th | |
| TruthfulQA | 65.8 | 447 | 26th | |
| HellaSwag | 77.0 | 416 | 31th | |
| MMMU | 56.4 | 481 | 20th | |
| Arena Elo | 1283.5 | 439 | 27th |
FAQ
What score does Qwen3 7B get on HumanEval?
Qwen3 7B scores 65.2 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.
How does Qwen3 7B rank on HumanEval?
It ranks #439 of 600 models, in the 27th percentile. The leader is GPT-5.2 Pro at 96.8.
Is Qwen3 7B good at HumanEval?
It is below the median for this benchmark, so test it carefully before relying on it for this capability. The result should be read alongside its price and context window.
How is the HumanEval score calculated?
HumanEval is a coding benchmark. Scores in this index are modelled estimates on a 0–100 scale (or Elo for Arena), derived from capability tier and benchmark difficulty. They are not official leaderboard results.
What does Qwen3 7B cost?
Qwen3 7B costs $1.37 per million input tokens and $7.23 per million output tokens.